(Similarity) Implementation of Fuzzy-PID Controller as A DC Motor Speed Controller Based On Arduino UNO

Rintyarna, Bagus Setya and Nugroho, Aji Brahma and Niam, Moh Hoirin (2021) (Similarity) Implementation of Fuzzy-PID Controller as A DC Motor Speed Controller Based On Arduino UNO. Journal of Software Engineering and Simulation.

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DC motor (Direct Current) is an electric machine driven by a DC voltage source.The development of high-performance DC motors is very important in industry as well as for other purposes such as yarn spinners (weaving), cranes, lifts, elevators, hair dryers,vacuum cleaners and sewing machines. Therefore, the motor must be controlled preciselyto produce a desired motor performance. Speed controllers are designed for the purpose of controlling the speed of a DC motor to carry out a variety of tasks, consisting of several types of conventional and numerical controllers, controllers can be: proportionalcontroller (P), proportional integral controller (PI), Proportional Derivative (PD) controller, or The combination of the three is proportional integral derivative (PID). The main problem in applying conventional control algorithms (PI, PD, PID) in speed controllers is the non-linearity effect on DC motors. The nonlinear characteristics of the DC motor can degrade the performance of conventional controllers. In general, accurate nonlinear models of DC motors are difficult to find and the parameters obtained from the sistem identification may only be estimated values. In this study, we will compare the response of the PID system which is tuned in a conventional way with the PID tuned by Fuzzy Logic. After testing and analyzing the system response, it was found on the PID controller with a high set point (14000 RPM) the system response at parallel load was slower than the system response with series resistance load, namely at 1Ω load the response to series load was 20 seconds while at parallel load the system response reaches a steady state at 29 seconds. Meanwhile, in the Fuzzy-PID parallel resistive load, thesystem response is faster than the series load, which is 14 seconds at series load and 13seconds at parallel load. When given a different set point, Fuzzy-PID experiences a veryhigh overshoot, which is 2216 RPM at a low set point (4000 RPM) and 1611 RPM at a speed setpoint of 9000 RPM. While the PID controller remains consistent in its responseto changes in setpoints (there is no overshoot). So from all the test results the PID controller is superior to the Fuzzy-PID controller.

Item Type: Peer Review
Uncontrolled Keywords: DC Motors, Control Motor, PID Controler, Fuzzy-PID Controler
Subjects: 600 Technology and Applied Science > 620 Engineering
Divisions: Faculty of Engineering > Department of Electronics Engineering (S1)
Depositing User: Bagus Setya Rintyarna
Date Deposited: 23 Dec 2022 01:23
Last Modified: 23 Dec 2022 01:23
URI: http://repository.unmuhjember.ac.id/id/eprint/15676

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